Engagement Manager - Modern Data Platform Implementation

16 Hours ago • 6 Years + • Product Management

Job Summary

Job Description

This role requires a Senior Engagement Manager with 6+ years of experience in leading data projects using Agile methodologies, specifically focusing on Databricks platform implementations and migrations within the healthcare industry. Responsibilities include leading client engagements from inception to completion, managing project plans and resources, handling dependencies and risks, serving as the primary client contact, collaborating with technical teams, ensuring solutions meet requirements, providing transparent reporting, managing scope/budget, identifying opportunities for additional services, facilitating knowledge transfer, and documenting project outcomes. The ideal candidate will possess strong client relationship management, communication, and presentation skills, and be adept at translating complex technical concepts into business value.
Must have:
  • 6+ years data project management experience
  • Agile delivery methodologies expertise
  • Databricks platform implementation experience
  • Healthcare industry data project experience
  • Modern data architecture understanding
  • Excellent client communication skills
Good to have:
  • Advanced degree
  • PMP, PMI-ACP, CSM certifications
  • Experience with AWS, Azure, GCP

Job Details

Overview 
We are seeking a Senior Engagement Manager with proven experience in leading data projects using Agile methodologies. This role requires expertise in managing Databricks platform implementations and migrations, with a focus on healthcare industry data projects. The ideal candidate will have a modern approach to tracking and managing dependencies across complex data initiatives. 
 
About the Role 
As a Senior Engagement Manager, you will be responsible for ensuring successful delivery of Databricks-based Modern Data Platform implementations. You will lead client engagements from inception to completion, working closely with cross-functional teams to deliver high-value data solutions that meet business objectives and technical requirements. 
 
Key Responsibilities 
Lead client engagements for Databricks platform implementations and migrations from legacy systems 
Apply Agile methodologies to manage project delivery, ensuring iterative value creation and continuous improvement 
Develop and maintain project plans, timelines, and resource allocations using modern tracking tools and approaches 
Manage project dependencies, risks, and issues with sophisticated tracking mechanisms 
Serve as the primary point of contact between client stakeholders and delivery teams 
Collaborate with technical teams to ensure solutions meet client requirements and adhere to best practices 
Conduct regular status meetings and provide transparent reporting on project progress 
Manage project scope, timeline, and budget to ensure successful delivery within constraints 
Identify and mitigate project risks proactively 
Drive client satisfaction throughout the engagement lifecycle 
Identify opportunities for additional services and project extensions 
Facilitate knowledge transfer to client teams 
Document project outcomes, lessons learned, and best practices 
 
Qualifications 
6+ years of experience managing data projects, with a focus on Agile delivery methodologies 
Proven track record of successfully implementing data solutions in the healthcare industry 
Experience with Databricks platform implementations and migrations from legacy systems 
Strong understanding of modern data architecture, including Lakehouse concepts 
Expertise in Agile project management frameworks (Scrum, Kanban, SAFe) 
Experience with modern project tracking tools and dependency management approaches 
Excellent client relationship management skills 
Strong communication and presentation abilities at all organizational levels 
Ability to translate complex technical concepts into business value 
Experience managing cross-functional teams 
Bachelor's degree in Computer Science, Information Systems, or related field; advanced degree preferred 
Professional certifications such as PMP, PMI-ACP, CSM, or equivalent 

Technical Knowledge 
Basic understanding of Databricks platform and ecosystem 
Modern data architecture principles 
Agile project management methodologies and tools 
Data migration strategies and approaches 
Cloud platforms (AWS, Azure, GCP) 
Data engineering and analytics workflows 
Project tracking and dependency management tools 
Risk management frameworks 
Budget and resource management 


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